competitive-intel
Research a competitor from their URL or name. Fetch website, pricing, features, and news. Generate a battlecard with positioning, strengths, weaknesses, and…
Validate ideas with market sizing (TAM/SAM/SOM), competitive landscape, strategic alignment, technical feasibility, and a go/no-go recommendation.
$ npx -y skills add shaan-ad/pm-os --skill opportunity-assessment --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/opportunity-assessmentContext preview
The summary Claude sees to decide when to auto-load this skill.
Validate ideas with market sizing (TAM/SAM/SOM), competitive landscape, strategic alignment, technical feasibility, and a go/no-go recommendation.
name: opportunity-assessment description: "Validate ideas with market sizing (TAM/SAM/SOM), competitive landscape, strategic alignment, technical feasibility, and a go/no-go recommendation."
You evaluate product opportunities by combining market research, competitive analysis, strategic alignment, and technical feasibility into a structured assessment with a clear recommendation.
1. Check that `knowledge/` exists. If not, tell the user: "No knowledge base found. Run `/pm-setup` first." 2. Read `knowledge/pm-context.md` for product context, stage, and key metrics. 3. Read `knowledge/okrs.md` for current objectives. 4. Check if `knowledge/strategy.md` exists and read it. 5. Check `knowledge/competitors/` for existing battlecards. 6. Check `knowledge/priorities/` for existing prioritization data.
Ask: "What's the opportunity you want to evaluate? You can describe it, share a URL with context, or paste a feature request."
Depending on what they provide:
**If they share a URL**: Use `WebFetch` to retrieve the content. Extract the core idea, market context, and any data points. Summarize what you found and confirm you understand the opportunity.
**If they describe it**: Ask clarifying questions until you understand:
**If they paste a feature request**: Parse it and reframe it as an opportunity to evaluate.
Then ask: "Is this opportunity about: (a) a new feature for existing users, (b) expanding to a new segment, (c) a new product or product line, or (d) something else?" This determines which sizing and feasibility model to use.
Use `WebSearch` (if available) to gather market data.
Search for: 1. "{opportunity keywords} market size" : TAM data 2. "{opportunity keywords} trends {current year}" : Growth trajectory 3. "{opportunity keywords} competitors" : Who else serves this need 4. "{user's product category} {opportunity}" : How peers approach this
If `WebSearch` is unavailable, tell the user: "I can't search the web right now. Do you have any market data, reports, or URLs I should look at? I'll work with what you provide and what I already know."
If the opportunity involves building something in the current codebase:
1. Ask: "Is there code related to this in the current project? Should I scan the codebase for relevant systems?" 2. If yes, scan for:
3. Estimate complexity based on what you find:
If not a code opportunity, or the user says no, estimate feasibility based on description and team context from `knowledge/team.md`.
Cross-reference the opportunity against:
1. **Current OKRs**: Does this directly advance any key result? Which one? 2. **Product strategy**: Does this fit the current strategic direction? 3. **Competitive position**: Does this address a competitive gap from battlecards? 4. **Customer feedback**: Does this align with themes from feedback synthesis?
Score alignment:
Produce the assessment in this format:
# Opportunity Assessment: {Opportunity Name}
*Date: {today's date}*
*Requested by: {if known}*
*Origin: {customer request / competitive pressure / market trend / internal idea}*
---
## Summary
{2-3 sentence plain-language description of the opportunity and why it's being evaluated}
---
## Market Sizing
### TAM (Total Addressable Market)
{The entire market for this type of solution}
- **Size**: {dollar amount or user count}
- **Source**: {where this number comes from}
- **Growth rate**: {if known}
### SAM (Serviceable Available Market)
{The portion of TAM that our product could realistically reach}
- **Size**: {dollar amount or user count}
- **Reasoning**: {why this subset}
### SOM (Serviceable Obtainable Market)
{What we could realistically capture in 1-2 years}
- **Size**: {dollar amount or user count}
- **Reasoning**: {based on our current position, resources, go-to-market}
### Market Assessment
{1-2 sentence verdict: is this market worth pursuing given our position?}
---
## Competitive Landscape
| Player | Approach | Strength | Weakness |
|--------|----------|----------|----------|
| {competitor 1} | {how they address this} | {what they do well} | {where they fall short} |
| {competitor 2} | {how they address this} | {what they do well} | {where they fall short} |
**Competitive gap**: {is there a gap we can exploit? What's our potential edge?}
**Crowding risk**: {how crowded is this space? Is there room for another player?}
---
## Strategic Alignment
| Dimension | Rating | Detail |
|-----------|--------|--------|
| OKR alignment | {Strong/Moderate/Weak/Counter} | {which OKR, or why not aligned} |
| Strategy fit | {Strong/Moderate/Weak/Counter} | {how it fits or conflicts} |
| Customer demand | {High/Medium/Low/Unknown} | {evidence from feedback or requests} |
| Competitive necessity | {High/Medium/Low} | {are cA Claude Code plugin that turns your terminal into a complete product management operating system. 27 AI-powered skills covering every PM workflow: from writing PRDs to building slide decks, from competitive research to quarterly planning. No empty templates.
Research a competitor from their URL or name. Fetch website, pricing, features, and news. Generate a battlecard with positioning, strengths, weaknesses, and…
Create beautiful HTML slide decks for product presentations. Reads product context, extracts brand colors from websites, and generates self-contained HTML…
Capture decisions with full context, alternatives considered, rationale, and revisit conditions. Auto-links to related PRDs, strategy docs, and OKRs.
Analyze A/B tests and experiments with statistical rigor, assess significance, perform segment analysis, and produce a clear ship/kill/extend recommendation.
Analyze customer feedback from any source. Categorize by theme, frequency, and severity. Output a synthesis with top themes, representative quotes, and…
User research interview guide creation. Generates screening criteria, hypothesis-mapped questions, follow-up probes, and debrief templates. Includes guidance…